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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

get_conversation_history_route

Read-onlyIdempotent

Retrieve conversation history details by conversation ID, returning JSON or an OpenTelemetry-compatible trace payload.

Instructions

Get Conversation Details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoResponse format. Defaults to 'json'. Set to 'opentelemetry' for an OTLP-compatible trace payload using the same structure as the post-call webhook.
conversation_idYesThe id of the conversation you're taking the action on.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true. The description adds no behavioral context beyond those annotations, such as pagination, response shape, or scoping, so it does not earn credit for supplementing structured data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

At three words, it is technically short but under-specified rather than concise. It lacks front-loaded scope or useful structure for an agent deciding whether to call it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a retrieval tool with no output schema, the description should clarify what is returned and how it differs from sibling conversation endpoints. It omits that entirely, leaving only the annotations and schema to carry the definition.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and both parameters have detailed schema descriptions, including the format enum and conversation_id. With the schema doing the semantic work, the baseline of 3 applies; the description adds no further parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get Conversation Details' gives a verb and broad resource but does not specify what kind of details or distinguish the tool from many siblings such as get_conversation_histories_route, get_conversation_summary_route, or get_conversation_audio_route. It is essentially a restatement of a generic conversation lookup.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The description provides no context that would help an agent choose among sibling conversation retrieval endpoints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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